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Info And Rules

Legal Data Analytics Hackathon (LeDAH)

Goal

Legal Data Analytics Hackathon aims to create applications/projects using data analytics methods applied to legal document and data. Cognitive biases should be avoided and for respecting the transparency principle we encourage to provide a self-explanation dataset, documentation, replication demo instructions, validation test set. Visualization of the results are very welcome in order to describe the results and to encourage legal practitioners, companies and citizens to use those emerging techniques.

The winners will be presented during the JURIX 2018 conference (5 minutes pitch) and all the participants can have an exposition space in the conference. We encourage to use the following techniques:

Machine learning

Deep learning

Network analysis

Knowledge graph

Data analytics

Predictive algorithms

Linked open data

Visualization

Rules

The application must comply the following rules:

1. use legal open data/document and document the dataset used for the pilot-case;

2. document with details the pilot-case in the scenario purpose, the research questions, the methodological aspects, the theoretical basis, the technical methods, the evaluation criteria;

The applications/projects must be published and reachable online (e.g., github, API, website) with the deadline. The team should be composed by 2-4 persons with a clear credits attribution of the contributions. The applications/projects must document with the necessary information according with the rules.

The selected applications will be invited to the in-place final event live hackathon, 24 hours refinement of the project, presentation of pitch, partial results in input, final results in output, demo, award ceremony (one winner 1000 euro and two runners up 500 euro).

Proposals should be sent to the Program Chair via email (Monica Palmirani (monica.palmirani@unibo.it)).